It is difficult to find covid-19 trend data over time at the local level for the Outaouais region. The Quebec government shows summaries but only the last few days of trends for regions. The Quebec Public Health agency (Institut national de santé publique du Québec, INSPQ) shows only cumulative snapshots by region and by Réseaux locaux de services (RLS, local service network), though detailed historical data at the regional and RLS levels are available from INSPQ with some digging. The COVID-19 Canada Open Data Working Group (CCODWG, opencovid.ca) provides time series data at the provincial and health region levels collected from official sources. However, none of these sources make trend data below the regional level easily accessible. Finally, the Centre intégré de santé et de services sociaux (CISSS) de l’Outaouais provides frequent (sometimes daily) snapshots by RLS and by municipality, but again no trends. The present project provides local trend data based on these snapshots and regional indicators based on the most complete available data.

Please note the caveats at the bottom of this page.

A separate page shows figures on the situation in Outaoauis schools.

Visualizations of key statistics for Ottawa, including projections and wastewater surveillance, are available at 613covid.ca.

Outaouais region totals

New cases

Active cases

Cumulative cases

Daily Tests

Positive tests

Test positivity

Deaths

Hospitalizations

Total hospitalizations

Vaccination

Outaouais & Ottawa (opencovid.ca)

Average increase by RLS

Gatineau & Outaouais

Collines

Pontiac

Papineau

Vallée

Active cases by RLS

Gatineau & Outaouais

Collines

Pontiac

Papineau

Vallée

Cumulative cases by municipalities

Total & Gatineau

Collines

Papineau

Papineau (<20)

Vallée

Vallée (<20)

Pontiac

Information on this site

Explanatory notes

The HTML source for the CISSS Outaouais site is accessed daily, the tables are scraped and processed into a tidy dataset, to produce the local (municipal) figures on this site. (I began regularly downloading the HTML source in fall 2020, and used the Wayback Machine to get earlier snapshots.) For the regional and RLS levels, various official datasets are downloaded daily from Quebec government and INSPQ sites; for the data from before I began these daily downloads, I accessed the corresponding files in the CCODWG Covid19 Canada Archive. Some historical hospitalization data come from the Ministère de la Santé et des Services sociaux (MSSS). The latest opencovid.ca health region data are included for comparison. The source code for downloading and processing all data, and the resulting datasets, are available in the project GitHub repository.

Note that while the historical CISSS data consist of the snapshots downloaded daily, and these do not change once they are in the dataset, the other historical datasets shown on this site – from INSPQ and MSSS – are re-downloaded in their entirety every day. This means that the latter have the most complete and accurate data available to date, because these datasets are revised daily and corrected retroactively by their authors as new information becomes available. As a results, the most recent statistics in particular (of the last few days) should be considered to be provisional.

Updates of this page usually occur after 12pm. If the figures do not show the latest data, reload this page in your web browser.

Last data update: 2021-04-20 19:47:00

Last page update: 2021-04-20 19:57:53

Caveats

Users of the data presented here need to be aware of the following caveats:

  1. While I strive to include the most recent and complete available data, there is no guarantee of data accuracy. I am aggregating what official sources have been reporting over time. I do try to correct obvious data input error in the local data, but I have not implemented an automatic error detection process.

  2. At the municipal and RLS levels, official data do not report numbers of less than 6 precisely, for good privacy reasons. When “5 or less” are reported, I record this as 5 cases. Users must be aware that counts of 5 do not precisely reflect the actual situation at those levels, but refer to 1-5 cases.

  3. Expressing vaccination doses as a percentage of the Outaouais population – I use the most recent 2020 estimate available – assumes that receivers of the vaccine are Outaouais residents and that they have received one dose only. These strong assumptions may be reasonable early in the vaccination campaign, but less so as time progresses.

Further, the CISSS Outaouais (local, municipal) data are subject to the following caveats:

  1. The date and time in the dataset refer to when the CISSS Outaouais page was accessed, not when cases occurred.

  2. The local trend data are not complete (i.e daily) for several reasons. First, due to a syncing glitch, I lost some HTML source files. Second, the CISSS Outaouais site is not updated every day. Third, the automatic downloads have not happened every day, either because my computer was turned off, or because my software for scheduling scripts has failed a few times. Since the snapshots include cumulative counts, this is not necessarily a problem, but it means that changes in local case counts cannot always be precisely dated. In the figures of these local data, “rugs” indicate dates for which the data are available.

Glossary

These definitions are based on information on the INSPQ methodology and CISSS Outaouais pages; consult those sites for more details.

Indicator Description
Active cases Number of confirmed cases that have not recovered or have died, aggregated at the regional or RLS level. Active cases contribute to the spread of infections.
Active hospitalizations Number of people currently in hospital with a covid-19 diagnosis, including people who received their leave during the day.
Average increase per day Average daily increase in cases over the last 7 days, calculated from available data; this eliminates day-to-day fluctuations and emphasises longer-term trends. (Official sources give the average of events of the selected day, the 3 previous days and the 3 following days, which produces the same line as the one used here, but shifted back by 3 days.)
Average positive tests per day Average number of people with at least one positive laboratory test result over the last 7 days. Only the first positive result of the first infectious episode of 90 days is counted.
Average testing per day Average daily number of covid-19 tests performed over the last 7 days. Each person is counted only once. People waiting for a result are excluded.
Average test positivity Average daily positive (confirmed) test results as a proportion of all tests carried out, expressed as percentage.
Cumulative cases Total cases to date since the start of the pandemic.
New cases Newly reported confirmed cases, including laboratory confirmed cases and epidemiologically linked cases, which are defined as “[corresponding] to a person who has developed compatible symptoms while having had a high-risk exposure with a laboratory-confirmed case.” INSPQ data do not include clinical cases.
New Hospitalizations Number of people newly admitted to hospital with covid-19 diagnosis. These data are recorded by health region of the patient’s residence, not the hospital location.
Persons tested Number of people who have had at least one test sample result. Each person is counted only once. People waiting for a result are excluded.
Persons tested positive Number of people with at least one positive laboratory test result. Only the first positive result of the first infectious episode of 90 days is counted.
Resolved/recovered cases Number of resolved cases at the regional level. Recovery criteria are determined by expert committees on the basis of scientific knowledge. A person is considered recovered when they meet the criteria for lifting isolation. The recovery status of a person is primarily determined by the responsible clinical teams or public health departments. Since the progress status is not always updated, however, an algorithm is applied daily to estimate the dates and number of recoveries based on other information in the health information system. Recovered cases presumably no longer contribute to the transmission of the disease.
Test positivity The percent positivity is the proportion of distinct covid-19 episodes among eligible tests in people susceptible to infection, calculated by dividing the number of confirmed (positive) cases by the total number of admissible tests. The number of eligible tests is the total number of screening tests performed (negative and positive), except those performed from day 2 to day 90 of an infectious episode.
Total cases Cumulative number of cases of infections to date, aggregated at the regional, RLS or municipal level. Also available broken down by residential and long-term care centres (CHSLD); private seniors’ residences (RPA); ressources intermédiaires and other facilities (“other”); and homes or unknown.
Total deaths Cumulative number of deaths at the regional level.
Total hospitalizations Cumulative number of new hospitalizations.
Total Vaccine doses administered Cumulative vaccine doses administered in the region.
Vaccine doses administered Daily vaccine doses administered in the region.

Covid-19 data sources

CISSS Outaouais: Fr / En
Gouvernement du Québec: situation / vaccination / schools / school list / zones
INSPQ: cases / vaccination / variants / timeline
MSSS: cases / hospitalizations
Government of Canada: cases / vaccination
CCODWG (opencovid.ca): cases & other

Disclaimer

Please read this disclaimer (“disclaimer”) carefully before using this website (the “Site”). All information provided on the Site is merely for general informational and educational purposes. It does not contain, and is not a substitute for, professional advice.

Under no circumstance shall I have any liability to you for any loss or damage of any kind incurred as a result of the use of the site or reliance on any information provided on the site. Your use of the site and your reliance on any information on the site is solely at your own risk.

While the information on the Site has been verified to the best of my abilities, I cannot guarantee that there are no mistakes or errors. All information on the Site is provided in good faith, however I make no representation or warranty of any kind, express or implied, regarding the accuracy, adequacy, validity, reliability, availability or completeness of any information on the Site.

I reserve the right to change this policy at any given time, in which case this disclaimer will be updated.

 

This page is maintained by Timo Thoms. Questions, concerns, and suggestions can be raised through GitHub Discussions.